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Publications associées (37)

Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations

Christoph Koch, Peter Lindner, Zilu Tian, Val Tannen

We generalize the bulk-synchronous parallel (BSP) processing model to make it better support agent-based simulations. Such simulations frequently exhibit hierarchical structure in their communication patterns which can be exploited to improve performance. ...

2023

Detecting Compensatory Motions and Providing Informative Feedback During a Tangible Robot Assisted Game for Post-Stroke Rehabilitation

Pierre Dillenbourg, Friedhelm Christoph Hummel, Barbara Bruno, Maximilian Jonas Wessel, Ayberk Özgür, Hala Khodr

Gamified rehabilitation tackles the problem of keeping patients engaged in, and motivated to do physical rehabilitation to improve its efficacy. However, with respect to standard rehabilitation, patients are freer to move about and may compensate their mot ...

IEEE2021

Exploring Spatial Perspective Taking in Human-Robot Interaction

Elmira Yadollahi

Humans often rely on their perspective taking skills to thrive within the world's complex relations and connections. An adequate understanding of others' spatial perspectives can increase the quality of the interaction, not only perceptually but also cogni ...

EPFL2021

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Pierre Dillenbourg, Friedhelm Christoph Hummel, Wafa Monia Benkaouar Johal, Maximilian Jonas Wessel, Ayberk Özgür, Jennifer Kaitlyn Olsen

Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important as ...

2020

Contextual Games: Multi-Agent Learning with Side Information

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

We formulate the novel class of contextual games, a type of repeated games driven by contextual information at each round. By means of kernel-based regularity assumptions, we model the correlation between different contexts and game out- comes and propose ...

Curran Associates, Inc.2020

A Quantitative Study of Historical Video Games (1981–2015)

Yannick Rochat

This chapter presents a dataset of 1,725 historical video games released between 1981 and 2015, with a particular focus on the distribution of these games across platforms, genres, and historical eras over time. The same importance is given in this large-s ...

Routledge2019

A Too to Design Interactive Characters Based on Embodied Cognition

Ronan Boulic, Joan Llobera Mahy

Creating interactive characters is one of the most challenging tasks of videogame design. In order to facilitate such an endeavor, we introduce a decisional and behavior synthesis architecture integrated in the game engine Unity3D. A distinguishing feature ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

A Product Engine for Energy-Efficient Execution of Binary Neural Networks Using Resistive Memories

David Atienza Alonso, Marina Zapater Sancho, Pierre-Emmanuel Julien Marc Gaillardon, Xifan Tang, Yasir Mahmood Qureshi, Edouard Giacomin, João Miguel Morgado Pereira Vieira

The need for running complex Machine Learning (ML) algorithms, such as Convolutional Neural Networks (CNNs), in edge devices, which are highly constrained in terms of computing power and energy, makes it important to execute such applications efficiently. ...

2019

Trends in robot-assisted and virtual reality-assisted neuromuscular therapy: a systematic review of health-related multiplayer games

Background: Multiplayer games have emerged as a promising approach to increase the motivation of patients involved in rehabilitation therapy. In this systematic review, we evaluated recent publications in health-related multiplayer games that involved pati ...

2018

Event-based, 6-DOF Camera Tracking from Photometric Depth Maps

Davide Scaramuzza

Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual in ...

Institute of Electrical and Electronics Engineers2018

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